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• Mammoth: Building Math Generalist Models Through Hybrid Instruction Tuning
  2023 · 554 citations
• Mixeval: Deriving Wisdom Of The Crowd From LLM Benchmark Mixtures
  2024 · 78 citations
• MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
  2024 · 31 citations
• Automatic Evaluation of Attribution by Large Language Models
  2023 · 29 citations
• SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
  2025 · 4 citations
• Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
  2025
• Small Models Struggle to Learn from Strong Reasoners
  2025
• VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
  2025
• ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
  2025
• VisualPuzzles: Decoupling Multimodal Reasoning Evaluation from Domain Knowledge
  2025
• VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation
  2025
• Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
  2025
• VisCoder2: Building Multi-Language Visualization Coding Agents
  2025
• On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
  2025
• Temporal Sampling for Forgotten Reasoning in LLMs
  2025